To address the growing threat of cyberattacks on industrial control systems, a KAUST team including Fouzi Harrou, Wu Wang and led by Ying Sun has developed an improved method for detecting malicious intrusions.
The progressive telecommunications research of KAUST Ph.D. candidate Maurilio Matracia, supervised by postdoctoral fellow Mustafa Kishk and Distinguished Professor of Electrical and Computer Engineering Mohamed-Slim Alouini, has been recently awarded the second-place prize at the IEEE SusTech 2021 student poster contest.
Qilong Pan is a statistics graduate who joined KAUST in June 2021 from the Wuhan University of Technology, China. Pan is a M.S./Ph.D. student and member of the Environmental Statistics research group under the supervision of Professor Ying Sun.
KAUST Professor of Computer Science Peter Richtárik and his former student Nicolas Loizou, currently a postdoctoral researcher at Mila - Quebec Artificial Intelligence Institute and soon to take up an assistant professorship position at Johns Hopkins University, recently received the 2020 Computational Optimization and Applications (COAP) Best Paper Award.
This coming decade promises to be yet another revolutionary one in how we communicate. In a world that is only beginning to embrace 5G technology, several scientific institutions, governments, telecom companies, and phone manufacturers worldwide are beginning to research the development possibilities of its successor—6G technology.
New modeling shows that heatwaves across Europe have increased in both frequency and spatial extent over the past century.
Daniel Osorio Barreto, is an economics graduate who joined KAUST this fall from Universidad Autónoma de Manizales, Colombia. He is as a Ph.D. student and member of the KAUST Biostatistics Group under the supervision of Professor Hernando Ombao.
By scanning past data for both partial and complete matches to current observations, a KAUST-led research team has developed a prediction scheme that can more reliably forecast the future trajectory of environmental parameters.
Statistical tools help fine-tune the parameters and approximations of models used to make sense of large spatial datasets.
Dr. Fouzi Harrou, a research scientist in the KAUST Environmental Statistics (ES) group, recently received two IEEE Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability 2021 (IEEE ECBIOS 2021) best paper awards.
Machine learning accelerates the search for promising Moon sites for energy and mineral resources.
A team of KAUST researchers have won first place in the Digital Research track at the inaugural Digital Innovation Awards held on Sunday, April 25, 2021. Launched by the Ministry of Communications and Information Technology (MCIT), the awards aim to “enhance the culture of innovation and entrepreneurship in digital research and development” in Saudi Arabia.
The annual IEEE Computer Society Global Student Challenge provides an avenue for students worldwide to create innovative solutions to big data problems. This year’s competition, IEEE CS GSC 2021, encourages each individual or team (max three students) to present solutions to pre-determined problem/issue statement of relevance in CS today.
Dr Hoteit is recognized for his pioneering research in ocean modelling, remote sensing, Red Sea eddy dynamics, and the development of new techniques in data assimilation and modelling that have environmental applications of global significance. In the Field of Applied Sciences (area of Engineering Sciences), the Prize is awarded to Dr. Mohamed-Slim Alouini, Distinguished Professor of Electrical and Computer Engineering at King Abdulla University of Science and Technology (KAUST) in Saudi Arabia, for his groundbreaking research in the area of wireless , optical and vehicular communications, including low-power communications for the internet of things, as well as his valuable contribution to the development of the 3G, 4G and satellite systems.
The foundation of building a successful academic career is generally thought to be the pursuit of excellence through specialization. Of course, the cross-disciplinary quest has its important place, but it's often thought of primarily as the fruitful collaboration between specialized entities or experts in particular fields.